Name
Abstract | ||
|---|---|---|
Modern biomedical data collection is generating exponentially more data in a multitude of formats. This flood of complex data poses significant opportunities to discover and understand the critical interplay among such diverse domains as genomics, proteomics, metabolomics, and phenomics, including imaging, biometrics, and clinical data. The Big Data for Discovery Science Center is taking an-ome to home" approach to discover linkages between these disparate data sources by mining existing databases of proteomic and genomic data, brain images, and clinical assessments. In support of this work, the authors developed new technological capabilities that make it easy for researchers to manage, aggregate, manipulate, integrate, and model large amounts of distributed data. Guided by biological domain expertise, the Center's computational resources and software will reveal relationships and patterns, aiding researchers in identifying biomarkers for the most confounding conditions and diseases, such as Parkinson's and Alzheimer's. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1093/jamia/ocv077 | JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION |
Keywords | Field | DocType |
big,biomedical,data,resource,discovery,science,neuroscience (ja),big data,analytics,BD2K,discovery science,Parkinson's disease,Alzheimer's disease (ID) | Data science,Data mining,Data collection,Phenomics,Computer science,Complex data type,Discovery science,Disparate system,Datasets as Topic,Analytics,Big data | Journal |
Volume | Issue | ISSN |
22 | 6 | 1067-5027 |
Citations | PageRank | References |
7 | 0.55 | 13 |
Authors | ||
14 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arthur W. Toga | 1 | 3128 | 261.46 |
| Foster Ian | 2 | 22938 | 2663.24 |
| Carl Kesselman | 3 | 12860 | 1648.67 |
| Ravi Madduri | 4 | 182 | 13.37 |
| Kyle Chard | 5 | 515 | 56.70 |
| Deutsch Eric W | 6 | 102 | 10.94 |
| Nathan D. Price | 7 | 182 | 18.12 |
| Gustavo Glusman | 8 | 77 | 10.43 |
| Benjamin D. Heavner | 9 | 39 | 3.28 |
| Ivo D. Dinov | 10 | 581 | 58.19 |
| Joseph Ames | 11 | 46 | 2.94 |
| John D Van Horn | 12 | 316 | 28.50 |
| r w kramer | 13 | 7 | 0.55 |
| Leroy Hood | 14 | 165 | 45.56 |